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A Paradigm Shift in Software Test Automation
Discover how innovation by testing experts streamlines the SDLC
Find out how the software testing industry is undergoing a transformation with AI up, front and center
Key Transformation Factors:
- Adopting quality engineering best practices
- Powering traditional automated testing with analytical AI
- Boosting shift-left testing with generative AI
- Putting it all together with Agentic AI
Keeping up with artificial intelligence advancements and quality engineering best practices is crucial to building a future where fast, smart, and safe software is the norm.
Reinvent test artifact validation and generation
Automate generation of test automation scripts
Integrate testing efforts with a host of tools and the CI/CD pipeline
Improve testing with defect and incident analysis
Solve stubborn testing ‘pain points’ with AI-infused tools
This whitepaper explores this evolution, by examining how quality engineering and artificial intelligence have revolutionized the industry, as we move from manual testing to ‘autonomous automation’.
Organizations should embrace nextgen automation to drive quality engineering efforts instead of taking the manual route. This requires the adoption of a data-centric, integrated approach as well as the latest in artificial intelligence to ride the wave of change.
Not forgetting governance frameworks and human oversight, the paper also highlights the importance of ‘augmented intelligence’ and showcases how COCO’s capabilities – Qualitest’s latest offering – can serve as a catalyst towards such an end.
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